Lu Qi   Ph.D. Candidate Rm 1026, Ho Sin-Hang Engineering Building Dept. of Computer Science and Engineering The Chinese University of Hong Kong Shatin, N.T., Hong Kong Email: qqlu1992 [at] gmail.com

Biography[CV]

I am a Ph.D. candidate in Computer Science and Engineering Department, The Chinese University of Hong Kong (CUHK) since 2017. My supervisor is Prof. Jiaya Jia. Before that, I received the M.E. degree in Pattern Recognition and Intelligent System from Institute of Automation, The Chinese Academy of Sciences in 2017 and the B.E. degree in Automation and the B.S. dual degree in Financial Mathematics from Shandong University in 2014.

My research interest includes computer vision and deep learning.

Publications[Google Scholar]

• LAPAR: Linearly-Assembled Pixel-Adaptive Regression Network for Single Image Super-Resolution and Beyond
  Wenbo Li, Kun Zhou, Lu Qi, Nianjuan Jiang, Jiangbo Lu, Jiaya Jia.
  Thirty-fourth Conference on Neural Information Processing Systems, (NeurIPS), 2020
  
• RGB-D Co-attention Network for Semantic Segmentation
  Hao Zhou*, Lu Qi*, Zhaoliang Wan, Hai Huang, Xu Yang.
  15th Asian Conference on Computer Vision, (ACCV), 2020
  
• MuCAN: Multi-Correspondence Aggregation Network for Video Super-Resolution
  Wenbo Li, Xin Tao, Taian Guo, Lu Qi, Jiangbo Lu, Jiaya Jia.
  16th European Conference on Computer Vision, (ECCV), 2020
  
• PointINS: Point-based Instance Segmentation
  Lu Qi, Xiangyu Zhang, Yingcong Chen, Yukang Chen, Jian Sun, Jiaya Jia.
  Technical Report
  
• Amodal Instance Segmentation through KINS Dataset
  Lu Qi, Li Jiang, Shu Liu, Xiaoyong Shen, Jiaya Jia.
  IEEE Conference on Computer Vision and Pattern Recognition, (CVPR), 2019
  
• Sequential Context Encoding for Duplicate Removal
  Lu Qi, Shu Liu, Jianping Shi, Jiaya Jia.
  Thirty-second Conference on Neural Information Processing Systems, (NeurIPS), 2018.
  
• Path Aggregation Network for Instance Segmentation
  Shu Liu, Lu Qi, Haifang Qin, Jianping Shi, Jiaya Jia.
  IEEE Conference on Computer Vision and Pattern Recognition, (CVPR), 2018 (Spotlight Presentation)
  Ranked No. 1 of COCO 2017 Detection Challenge in Instance Segmentation Track
  Ranked No. 2 of COCO 2017 Detection Challenge in Object Detection Track
  Ranked No. 1 of 2018 Scene Understanding Challenge for Autonomous Navigation in Unstructured Environments Instance Segmentation Track
  

Competitions

• No. 1 of 2018 Scene Understanding Challenge for Autonomous Navigation in Unstructured Environments Instance Segmentation Track
  
• No. 1 of COCO 2017 Detection Challenge in Instance Segmentation Track | slides
  
• No. 2 of COCO 2017 Detection Challenge in Object Detection Track
  
• No. 1 of LSUN'17 Instance Segmentation Challenge
  
• No. 3 of SpaceNet Challenge in Topcoder 2017
• No. 4 of Bike Sharing Demand in Kaggle 2014

Honors & Awards

Hong Kong Ph.D. Fellowship (231 candidates in Hong Kong)	2017-2021
The President Scholarship of Shandong University (highest honor)	2013
Baogang Steel Scholarship (top 0.5%)	2013
Excellent Student in Shandong Province	2013
National Scholarship (thrice)	2011-2013

Research Experiences

• Research Intern | Megvii Technology (Face++), Beijing | June 2019 – Present
  Mentor: Dr. Xiangyu Zhang
  Topic: Object Detection and Instance Segmentation
  
• Research Intern | Youtu Lab, Tencent, Shenzhen | May 2018 – May 2019
  Mentor: Dr. Shu Liu and Dr. XiaoYong Shen
  Topic: Instance Segmentation for Autonomous Driving
  
• Research Intern | SenseTime, Beijing | Nov. 2016 – Oct. 2017
  Mentor: Dr. Jianping Shi
  Topic: Instance Segmentation with RGB Data
  

Teaching

CSCI1120 Introduction to C++	Fall	2019-2020
CSCI2100B Data Structure	Spring	2018-2019
ENGG1100 Introduction to Engineering Design	Fall	2018-2019
CSCI3120 Compile Construction	Spring	2017-2018